Web Reference: Nov 20, 2025 · The Variance Inflation Factor (VIF) is used to detect multicollinearity in regression analysis. In this article, we’ll see VIF and how to use it in Python to identify multicollinearity. Oct 12, 2022 · One way to detect multicollinearity is by using a metric known as the variance inflation factor (VIF), which measures the correlation and strength of correlation between the explanatory variables in a regression model. This tutorial explains how to calculate VIF in Python. The variance inflation factor is a measure for the increase of the variance of the parameter estimates if an additional variable, given by exog_idx is added to the linear regression.
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